Results 11 to 20 of about 1,053,214 (335)
Image Reconstruction in Optical Interferometry [PDF]
IEEE Signal Processing Magazine, 2009 This tutorial paper describes the problem of image reconstruction from interferometric data with a particular focus on the specific problems encountered at optical (visible/IR) wavelengths.
Giovannelli, Jean-François +1 more
core +5 more sources
Sparse image reconstruction for molecular imaging [PDF]
IEEE Transactions on Image Processing, 2008 The application that motivates this paper is molecular imaging at the atomic level. When discretized at sub-atomic distances, the volume is inherently sparse.
Hero III, Alfred O. +2 more
core +4 more sources
Imaging of the Reconstructed Breast
Diagnostics, 2023 The incidence of breast cancer and therefore need for breast reconstruction is expected to increase. The many reconstructive options available and the changing aspects of the field make this a complex area of plastic surgery, requiring knowledge and expertise. Two major types of breast reconstruction can be distinguished: Breast Implants and Autologous
Theodora Kanavou +4 more
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LOFAR sparse image reconstruction [PDF]
Astronomy & Astrophysics, 2015 Context. The LOw Frequency ARray (LOFAR) radio telescope is a giant digital phased array interferometer with multiple antennas distributed in Europe. It provides discrete sets of Fourier components of the sky brightness. Recovering the original brightness distribution with aperture synthesis forms an inverse problem that can be solved by various ...
A. W. Gunst +89 more
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Image reconstruction through metamorphosis [PDF]
Inverse Problems, 2020 This article adapts the framework of metamorphosis to solve inverse problems in imaging that includes joint reconstruction and image registration. The deformations in question have two components, one that is a geometric deformation moving intensities and the other a deformation of intensity values itself, which, e.g., allows for appearance of a new ...
Barbara Gris, Chong Chen, Ozan Öktem
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Lightweight Image Super-Resolution Reconstruction Based on Depthwise Separable Convolution [PDF]
Jisuanji gongcheng, 2022 Image super-resolution reconstruction aims to reconstruct a high-resolution image close to the real image according to the low-resolution image.The existing image super-resolution reconstruction methods based on the Convolutional Neural Network(CNN ...
LIU Cong, QU Dan, SI Nianwen, WEI Ziwei
doaj +1 more source
Sensors, 2021 In this paper, we use Frame Theory to develop a generalized OCT image reconstruction method using redundant and non-uniformly spaced frequency domain samples that includes using non-redundant and uniformly spaced samples as special cases. We also correct
Karim Nagib +4 more
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Computational Imaging for VLBI Image Reconstruction [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Accepted for publication at CVPR 2016, Project Website: http://vlbiimaging.csail.mit.edu/, Video of Oral Presentation at CVPR June 2016: https://www.youtube.com/watch?v ...
Bouman, Katherine L. +5 more
openaire +6 more sources
On Hallucinations in Tomographic Image Reconstruction
IEEE Transactions on Medical Imaging, 2021 Tomographic image reconstruction is generally an ill-posed linear inverse problem. Such ill-posed inverse problems are typically regularized using prior knowledge of the sought-after object property. Recently, deep neural networks have been actively investigated for regularizing image reconstruction problems by learning a prior for the object ...
Sayantan Bhadra +3 more
openaire +5 more sources
Metal Artifact Reduction in CT: Where Are We After Four Decades?
IEEE Access, 2016 Methods to overcome metal artifacts in computed tomography (CT) images have been researched and developed for nearly 40 years. When X-rays pass through a metal object, depending on its size and density, different physical effects will negatively affect ...
Lars Gjesteby +6 more
doaj +1 more source